# Snowflake Reviews **Vendor:** Snowflake, Inc. **Category:** [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) **Average Rating:** 4.5/5.0 **Total Reviews:** 756 ## About Snowflake Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW). ## Snowflake Pros & Cons **What users like:** - Users praise the **ease of use** of Snowflake, appreciating its fast and flexible data management capabilities. (183 reviews) - Users appreciate the **reliable features and seamless integrations** of Snowflake, enhancing data analytics and business intelligence. (118 reviews) - Users value the **rich data management capabilities** of Snowflake, facilitating efficient querying and seamless integration across platforms. (108 reviews) - Users value the **scalability** of Snowflake, effortlessly adapting to varying workloads and ensuring high performance. (99 reviews) - Users value the **fast and flexible performance** of Snowflake, enabling quick data analysis without infrastructure concerns. (90 reviews) - Efficiency Improvement (89 reviews) - Users appreciate the **hassle-free data integration** with Snowflake, allowing focus on querying rather than infrastructure management. (88 reviews) - Speed (86 reviews) - Database Management (78 reviews) - Easy Integrations (78 reviews) **What users dislike:** - Users find Snowflake to be **expensive** , especially burdensome for smaller businesses with limited budgets or heavy workloads. (91 reviews) - Users experience **feature limitations** in Snowflake, particularly with query performance and restricted code execution options. (54 reviews) - Users find the **learning curve steep** for Snowflake, requiring training for inexperienced team members to navigate effectively. (45 reviews) - Users highlight the need for discipline in managing **costs** , as poor optimization can lead to unexpected charges. (44 reviews) - Users find the **cost management** challenging, with unpredictable pricing and initial setup costs exceeding expectations. (44 reviews) - Limited Features (42 reviews) - Query Issues (41 reviews) - Users find the **UI/UX challenging** and suggest better learning programs to improve the experience with Snowflake. (37 reviews) - Missing Features (34 reviews) - Users find the **poor UI design** of Snowflake complicates navigation and slows down workflows, impacting the overall experience. (34 reviews) ## Snowflake Reviews ### 1. Snowflake Simplifies Data Management at Scale **Rating:** 4.0/5.0 stars **Reviewed by:** Harshil A. | Data & AI Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** June 01, 2026 **What do you like best about Snowflake?** What I like best about Snowflake is how easy it makes working with large amounts of data without having to manage infrastructure. The separation of storage and compute allows teams to scale resources independently, which improves performance and cost efficiency. I also appreciate its user-friendly interface, fast query performance, secure data sharing capabilities, and strong integration with modern data tools. Overall, Snowflake helps organizations access, analyze, and share data more efficiently, enabling faster and better business decisions. **What do you dislike about Snowflake?** What I dislike most about Snowflake is that costs can sometimes be difficult to predict, especially when compute resources are scaled up or used inefficiently. While the platform offers strong performance and flexibility, organizations need to monitor usage carefully to avoid unexpected expenses. New users may also face a learning curve when managing warehouses, permissions, and optimization settings. Overall, the benefits are significant, but cost management requires ongoing attention and planning. **What problems is Snowflake solving and how is that benefiting you?** What I like most about Snowflake is that it helps solve challenges related to managing and analyzing large volumes of data. By providing a scalable and centralized platform, it reduces infrastructure complexity, improves query performance, and enables faster access to insights. This benefits me by making data analysis more efficient, supporting better decision-making, and allowing teams to collaborate more effectively across the organization. ### 2. Easy, Efficient Data Extraction with Clear Database Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Pankaj K. | Business Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 28, 2026 **What do you like best about Snowflake?** Snowflake lets me extract data easily and efficiently, and its clear UI/UX makes it simple to navigate while understanding the structure of databases and tables. It also integrates smoothly with the other tools we use, which helps streamline workflows and boosts overall productivity. In my experience, performance remains strong even with large datasets, and being able to scale resources up or down as needed adds solid value for the pricing. Onboarding is straightforward, with helpful documentation and support available whenever I need it. On top of that, Snowflake’s AI and intelligent features improve data analysis and make it easier to surface meaningful insights quickly. **What do you dislike about Snowflake?** At times, Snowflake’s UI/UX feels a bit unintuitive when I’m working with complex queries, particularly if I’m leaning on the built-in AI features. The AI can occasionally produce incorrect code or fail to identify the right tables, which hurts productivity and adds extra rework. Integrations are generally solid, but when something breaks between tools, troubleshooting can be time-consuming. Overall performance is usually good, yet inefficient AI-generated queries can still slow things down. From a pricing perspective, those inefficiencies may translate into higher compute costs, which then impacts overall ROI. On top of that, onboarding into more advanced features—especially the AI capabilities—can be challenging, and the available support or documentation doesn’t always fully cover these edge cases. **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps address key business challenges by making it easier to manage and analyze large volumes of data efficiently. Its intuitive UI/UX simplifies exploring datasets and understanding database structures, which boosts productivity in everyday work. The platform’s strong integrations with other tools also streamline data pipelines and support smooth collaboration across teams. From a performance standpoint, Snowflake runs large-scale queries quickly and can scale resources on demand, delivering consistent results as data needs grow. This scalability can also improve pricing and ROI, since you’re able to optimize costs based on actual usage. In addition, the onboarding experience and available support make it relatively straightforward to get started and gradually adopt more advanced features. Lastly, its AI and intelligence capabilities help with query generation and data analysis, accelerating insights while reducing manual effort. ### 3. Fully Managed Snowflake That Scales Smoothly with Great Support **Rating:** 4.5/5.0 stars **Reviewed by:** Abhay K. | Senior Integration Specialist, Leisure, Travel & Tourism, Enterprise (> 1000 emp.) **Reviewed Date:** May 27, 2026 **What do you like best about Snowflake?** The best thing I like about Snowflake is its fully managed Software-as-a-Service model, which reduces development and maintenance efforts tremendously. Another feature I really value is the architectural separation of compute and storage, which allows independent scaling of resources and helps optimize operational costs based on real-time workload consumption. Snowflake also enables frictionless, secure data sharing across different business units and external organizations, without requiring physical data replication or complex ETL pipelines. We have integrated Snowflake with API integration implementational dn data moved swiftly without any delay/concurrency. The AI suggestions while building procedure it so matured that it saves lots of development time. Technical support team is very efficient and available on requests. The UI is very smooth **What do you dislike about Snowflake?** The standard edition restricts users to single cluster warehouse with default concurrency level of 8. This limitation forced us to upgrade to enterprise edition with multi-cluster support with big cut on the project budget. **What problems is Snowflake solving and how is that benefiting you?** Snowflake features like native data sharing make it much easier to centralize data and keep it accessible across teams. Not having to manually manage indexes, partitions, or vacuuming frees up a lot of development time, so I can focus on actual data integration instead. Overall performance of data processing is very fast which saves a lot of time to sync data in Snowflake. ### 4. Flexible, High-Performance Storage with Easy Compute Management and Smooth Connectivity **Rating:** 4.5/5.0 stars **Reviewed by:** Julia F. | Backend Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 08, 2026 **What do you like best about Snowflake?** Snowflake storage lets teams work independently with flexible workloads and strong performance, without needing process management. The platforms tools and database features make implementation and day to day management straightforward and the overall performance has been excellent for us. Compute is easy to manage and makes collaboration very reliable across ETL, ML and data queries. Connecting to the platforn is also smooth and works well. **What do you dislike about Snowflake?** Snowflake requires careful management of compute costs. At the same time, it provides some optimized ETL functionality within Snowflake itself and helps keep the information stored in the database seccure. **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps me tackle infrastructure and server challenges by bringing data warehousing, analytics and data collaboration together in one place. It supports external data sharing and real time processing and it can also be used to work with customer support data. It makes scaling easier as data grows, gives clearer visibility into the underlying infrastructure and supports practical use cases such as fraud detection. ### 5. Snowflake’s Cortex AI Makes an Already Powerful Data Platform Even Better **Rating:** 4.5/5.0 stars **Reviewed by:** AJHARUDDIN . | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about Snowflake?** Snowflake is the most powerful data tool right now . It's not limited to data warehouse now . With the current ai capabilities specially cortex like cortex analyst ,cortex agents , ai sql functions this is now an end to end platform for all data things . Specially the cortex code is life changing for etl pipelines,debugging etc. **What do you dislike about Snowflake?** I think they are shipping a lot of ai features which are great but still need fine tuning and improvements on that . Sometimes they hallucinate and gets a little frustrating . Also I think cortex analyst was pretty expensive so cost sometimes is a downside . **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps us in a lot of work and really like all the features like time travel ,snowflake streams , stages to load data , different warehouse to handle the workloads etc. Also it allows for seamless integration with external systems like braze , dbt projects etc. ### 6. Easy Data Movement, Smooth Scaling, and Solid Performance in Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Stephen H. | System Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about Snowflake?** Snowflake makes data movement easy, and scaling compute for heavier workloads is straightforward without requiring much manual tuning. It also helps me keep data secure and I don’t have to worry about provisoning servers or APIs. The Cloud storage setup in Snowflake feels well desgined and I’ve consistently seen solid performace. I also like the integration features and it continues to work well even when the whole team is using it at the same time. The setup process process has been smooth and practical and having the option with both SQL and Python has been great. **What do you dislike about Snowflake?** Small files can hurt performance, but otherwise data pipelines can faster and cut overalltime. The compute is most useful when it stays simple, efficient, easy to mange and straightforward to operate. **What problems is Snowflake solving and how is that benefiting you?** Snowflake centralised our data. Reducea issues and improved consistency across our reporting and analytics. It has also streamlined workflows and prevented many of the problems we user to run into when managing reports, especially when working to tight timelines. The capabilities have been useful and it performa extremely well when handling window functions and workloa isolation. It reduces adat problema through integrations and helped us deliver excellent results. ### 7. Reliable, Low-Maintenance Platform for Scalable BI Data Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Tanya K. | Account Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 01, 2026 **What do you like best about Snowflake?** Snowflake has been a reliable platform in my day to day data workflows. In my setup, I use dbt to run scheduled transformations and Snowflake handles these workloads efficiently. Data sharing is another area where Snowflake performs well. A notable advantage is the low maintenance requirement which reduces operational effort and allows more focus on analytics and modeling. Overall, Snowflake provides a stable, scalable and efficient environment for modern data operations, particularly in BI-driven use cases. **What do you dislike about Snowflake?** With Snowflake, cost visibility can feel a bit unclear at first and it’s easy to run up higher usage if queries aren’t monitored closely that said the interface is well structured and intuitive which makes it straightforward to find, organize and manage resources efficiently. **What problems is Snowflake solving and how is that benefiting you?** Snowflake has effectively consolidated multiple reporting systems into a single centralized data warehouse, which reduces data duplication and improves overall consistency in reporting. This centralization has also helped minimize errors, since all teams are working from the same source of truth. On top of that Snowflake’s user interface makes it easier to visualize, access and manage data workflows. Overall, it streamlines our data architecture, reduces operational fragmentation, and improves the accuracy and efficiency of our reporting processes. ### 8. Stable, Scalable Snowflake for Reporting on Large Datasets **Rating:** 5.0/5.0 stars **Reviewed by:** Sridhar B. | US Tax Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about Snowflake?** I’m in Snowflake almost everyday for reporting work. Its been stable for me and doesn’t freeze, even when I’m working with large datasets. Writing queries feels straightforward and I rarely need much support to get things done. We also use it with looker and google sheeta, depending on who needs the data and how they prefer to access it. The option to scale compute up during heavier workloads and then scale it back down afterwards is helpful. I also appreciate not having to worry about infrastructure or ongoing maintenance. **What do you dislike about Snowflake?** Snowflake makes it very easy to manage dynamic schema updates, although I’ve also run into some slow performance at times. It streamlines data goverance and removea the storage constraints we used to deal with in traditional on prem databases. **What problems is Snowflake solving and how is that benefiting you?** It centralizes all of our reporting data, so I no longer have to chase different teams for files. That alone cuts down on a lot of back and forth during month end close and makes the whole process feel much smoother. ### 9. Simple, Fast, and Intuitive—Great for Large Data Sets **Rating:** 4.5/5.0 stars **Reviewed by:** Grant H. | Financial Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 09, 2026 **What do you like best about Snowflake?** It keeps things simple and consistent and performance stays fast even when I am working with large data sets. The features I rely on most are warehouse resizing, access roles and retention. The interface is user friendly with a UI that feels intuitive for both internal and external teams and the government feels solid as well. **What do you dislike about Snowflake?** With warehouse and running queries if you're not careful costs can grow quickly. That said I haven't had any problems so far. It helps me to bring together app data and overall it's been working well what I need. **What problems is Snowflake solving and how is that benefiting you?** I mainly use it to build data models and feed the dashboard and it has helped speed up our reporting cycles. It's also much easier to manage everything in snowflake instead of juggling multiple systems, which has made it simpler for our team to manage data and keep everything consistent. ### 10. Smooth Scheduled Models and Clean Dashboard-Ready Data with dbt **Rating:** 4.5/5.0 stars **Reviewed by:** Puneet G. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 03, 2026 **What do you like best about Snowflake?** It works really well with tools like power BI and looker. I use dbt to run scheduled models and push clean, ready to use tables directly into dashboards which keeps everything running smoothly. Sharing data across teams is straightforward and there's no heavy maintenance to worry about. Overall data organization and management feel solid consistently well handled. **What do you dislike about Snowflake?** At first the cost tracking isn't very clear, so it's easy to overspend especially if queries keep running in the background without you noticing, that said the interface itself is straightforward and once you're in its easy to navigate and find what you need. **What problems is Snowflake solving and how is that benefiting you?** It replaced several reporting databases for us. Now everything runs through a single data warehouse, which reduces duplication and keeps our data far more consistent. It's also helped us avoid reporting errors and overall it has made managing our analytics workflows much easier. ### 11. Smooth Reporting Pipelines with Looker/DBT and Effortless Scaling **Rating:** 4.5/5.0 stars **Reviewed by:** Larry S. | Software engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2026 **What do you like best about Snowflake?** I use Snowflake mainly for reporting pipelines. It integrates smoothly with tools like looker and DBT, and setting up transformations is fairly straightforward. I often rely on cloning tables without duplicating data when I’m testing changes. I also appreciate that storage can scale up without much advance planning and managing queries generally feels simple and efficient. **What do you dislike about Snowflake?** You can make it work, but it doesn’t feel very natural. The query history is helpful, yet when I need deeper troubleshooting, it still feels limited snowflake. That said, i do appreciate how user friendly it is especially for people who might not have technical background. **What problems is Snowflake solving and how is that benefiting you?** We used to run into reporting delays because we were on shared systems. Now analytics runs separately, so our dashboards stay consistent even when the load is heavy. This keeps our reporting timelines predictable and it’s also been great at storing processing and retrieving large amounts of data. ### 12. Snowflake Makes High-Volume Supply Chain Data Loads Smooth and Reliable **Rating:** 4.0/5.0 stars **Reviewed by:** Kapil K. | SAP MM, Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2026 **What do you like best about Snowflake?** In a supply chain setup, I work with Snowflake every day to manage movement and inventory tracking data. It handles high volume workloads with very small setup requires on my end and I stage files in AWS S3, process everything inside Snowflake SnowFlake and then send the results to Power BI. Our data loads run on a schedule and I rarely run into failures unless something upstream breaks. **What do you dislike about Snowflake?** It really depnds on how people write queries badly written queries can slow things down and drive up costs. What I like is that I don’t have to worry about indexes or tuning the way I did with older systems. And even when multiple teams are running queries at the same time, performance doesn’t degrade much. **What problems is Snowflake solving and how is that benefiting you?** It has taken away much of struggle of handling large SAP MM datasets during peak operations. Stock reconciliation and movement tracking are now faster and smoother, which is a real help during audits and planning cycles. Reporting also runs separately now, so business users can get their numbers sonner without slowing now, so business users can get their numbers sooner without slowing down or impacting daily transactions. ### 13. Reliable, Fast Analytics at Scale with Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Matt H. | PHP Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Snowflake?** Snowflake has been reliable for handling large datasets. I use it for daily analytics work tied to our PHP applications, and the queries run fast, so I don’t have to spend time worrying about infrastructure management or constant tuning. It also integrates well with BI and ETL tools. Setting up pipelines and connecting external tools feels straightforward and its easy to get everything up and running. The separation of compute and storage is especailly useful when different teams are working at the same time. **What do you dislike about Snowflake?** One drawback is the limited low level control. Still, it reduced the load on production and made our analytics faster, which is a real and compared with other platforms like Snowflake, its a solid option. **What problems is Snowflake solving and how is that benefiting you?** We moved our reporting workload out of our main PHP database and into Snowflake. This reduced the load on production and made our analytics faster overall. Now we can run heavier queries without impacting app performnace and queries run fastest and I no longer have to worry about infrastructure management or constant tuning. ### 14. Smooth, Scalable Queries and Easy Onboarding with Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Bradley P. | Oracle Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 20, 2026 **What do you like best about Snowflake?** We use Snowflake for ETL support and reporting and easy to onboard. Queries run smoothly even with large, heavy datasets. The integration with dbt and Tableau have also worked well without requiring extra setup, data sharing data across teams is quick and straightforward. **What do you dislike about Snowflake?** Costs can vary a lot depending on how queries are written, and for new users it’s not always easy to track usage. Some admin work also takes time, especially task like access control. Still, the trade-off has been worth it for us. We’re spending more time on logic and less time troubleshooting performance. **What problems is Snowflake solving and how is that benefiting you?** Previously our data was spread across multiple systems, now it’s all in one place. Reporting time has decreased, and we’re seeing fewer failures in scheduled jobs. It also makes it easier for teams to access the same data without conflicts, which reduces delays and keeps analytical work moving more smoothly overall. ### 15. Fast Performance and Team-Friendly Collaboration Features **Rating:** 4.5/5.0 stars **Reviewed by:** Ron P. | Lead IOS, Mid-Market (51-1000 emp.) **Reviewed Date:** April 13, 2026 **What do you like best about Snowflake?** Speed was the first thing I noticed even complex queries return results. I also appreciate the separation between compute and storage, which really helps when multiple teams are working off the same connection with dbt, AWS S3, and Looker, and it has made our overall workflow simpler. Additionally Features such as Time Travel and secure sharing have also been useful for collaborating across teams and keeping work organized. **What do you dislike about Snowflake?** It takes a little time to understand how warehouses consume credits and some of more advanced settings are not very clear initially monitoring solution itself is solid and being able to manage multiple data sources along with the integration support system on Snowflake works perfectly for what I need. **What problems is Snowflake solving and how is that benefiting you?** It helps keep my development environment secure without asking for any extra effort on my end. On top of that it pulls together large datasets form multiple sources which cuts down on data silos and keeps queries fast and efficient. Overall i can focus on my work without worrying about infected dependencies or unsafe downloads getting in the way. ### 16. Consistent High-Performance Queries for High-Volume Data in Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Lynn C. | Autonomous System Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 12, 2026 **What do you like best about Snowflake?** Snowflake we process a high volume of sensor and log data, and snowflake keep queries performance stays consistent even when we’re running with heavy joins. That said the pricing model can feel a bit complex to understand at first, especially when you’re getting started. Writing SQL feels straightforward, and the UI is easy enough to navigate without much training. It integrates well with python scripts, Spark jobs, and even lightweight tools like Zapier for automation task, which makes it easier to fit into our existing workflows. **What do you dislike about Snowflake?** Python based processing inside snowflake isn’t always as fast as expect. Because of that, I sometimes run transformations externally first, then load the processed results back into snowflake. **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps consolidate both raw and processed data into single system, this cuts down the time we spend switching between tools and improves turnaround time for analysis. We can scale resources up or down as needed and we’re able to run multiple workloads in parallel without running into performance issues. ### 17. Faster Queries and Seamless Secure Data Sharing with Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Gabriel G. | Quality Control Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** April 10, 2026 **What do you like best about Snowflake?** Handling large voulmes of inspection data in Snowflake used to feel slow for us, but it handles that workload much better now. Queries that previously took minutes are completing far faster, which has made our day to day analysis noticeably smoother. I also appreciate the secure data sharing features, since we can share datasets with extral vendors aithout having to create duplicates or maintain extra copies. On to of that, Snowflake integrations with tools like Salesforce and Zapier have been useful for keeping data in sync across systems. **What do you dislike about Snowflake?** In my experience, Python user defined functions tend to be slower than SQL based operations. SO when we have heavier transformations to do in Snowflake, we’all sometimes run that processing outside of Snowflake first and then load the transformed results back in. **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps us maintain a single consistent version of high quality data across teams. This reduces confusion and makes sure everyone is working fron the same numbers, which keeps our reporting aligned. ### 18. Snowflake Makes Multi-Source Data Integration and Reporting Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Amy M. | SQL Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 08, 2026 **What do you like best about Snowflake?** In my current role, I work with data from a range of sources, including AWS S3 and various APIs and Snowflake manages the ingestion easy process. When its paired with tools like Power BI, it also makes reporting straightforward for business teams. We’re able to integrate our Google Cloud environment with the platform as well, which helps simplify daily data management. I Particularly that clonning tables doesn’t duplicate storage, since it saves time and effort when I’m testing. Query performance has also been consistently reliable in my experience, even when I’m running large joins. **What do you dislike about Snowflake?** Once things I’ve noticed is that if queries aren’t optimized, costz can spike fastest and without much warning. Also, the integration and implementation process isn’t straightforward, which can make getting everything set up more difficult than expected. **What problems is Snowflake solving and how is that benefiting you?** Snowflake solves the problem of pulling all of our scattered data into user dashboard, so I don’t have to keep switching between systems, the data watehouse and our data science and machine learning platforms. I mainly use it to build data models and feed the dashboard and its made our reporting cycles faster, more consistent and easier to manage. ### 19. Smooth Daily Data Workflows with Snowflake and Airflow **Rating:** 4.5/5.0 stars **Reviewed by:** Matt L. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 07, 2026 **What do you like best about Snowflake?** We use Snowflake every day to manage data coming from APIs, logs and internal applications. What standa out most is how seamlessly it integrates with tools like Apache Airflow for job scheduling andd AWS S3 for storage. The overall environment feels dependable and thw user friendly interface keeps day to day work simple and efficient. Writing SQl queries is intutive and performance stays consistent even when we’re working with large datasets. Sharing data across teams is also easy and straightforward, which reduces a lot of unnecessary back and forth. **What do you dislike about Snowflake?** Cost tracking needs more attention. If I forget to pause warehouses or if I accidentally run heavy queries, the costs can add up fast. The query history is useful, but when I’m troubleahooting more complex issues, it sometimes doesn’t feel detailed enough to clearly pinpoint what happend and why. Even so, their services still helps us improve the quality of work. **What problems is Snowflake solving and how is that benefiting you?** We used to see delays when processing data overnight, but now our pipelines run much faster. Its been an effective and reliable way to manage our database, support all clients and generate insights from their work. Its also significantly easier to manage everything in Snowflake, rather than juggling multiplw databases and separate scripts. ### 20. Snowflake: Powerful, Scalable Analytics with Seamless Integrations **Rating:** 4.5/5.0 stars **Reviewed by:** Chris H. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** April 06, 2026 **What do you like best about Snowflake?** Snowflake covers almost everything needed I need for analytics within a single dashboard. I’ve worked with integrations like Power BI , Tableau, dbt and even APIs for custom data loads and overall its been a strong data warehousing tool. It supports both structured and semi structured data, including formats like JSON and Parquet, which is useful in real projects. Features such as data sharing, automatic scaling and workload isolation make it easier to collaborate teams without running into conflicts. On top of that, not having to deal with server management is a major plus. **What do you dislike about Snowflake?** There’s a bit of a learing curve when you first start using advanced features like clustering or performance tuning. Keeping costs under control also takes discipline, especially with larger teams. I’ve found that creating multiple roles and assigning the right privileges to each one helps streamline the overall data analysis process. **What problems is Snowflake solving and how is that benefiting you?** It brings data engineering and analytics together, giving us clearer insight into our data. Rather than managing multiple systems, we can rely on Snowflake for storage, transforamtion and querying which saves and reduces complexity throught our worflow. ### 21. Snowflake’s Secure Data Sharing and Time Travel Make Daily Analysis Effortless **Rating:** 4.5/5.0 stars **Reviewed by:** Talal B. | Security Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 02, 2026 **What do you like best about Snowflake?** I use Snowflake every day to review access logs and keep an eye on user behavior. The secure Data Sharing feature is genuinely one of the most valuable parts of the platform, since it allows us to share datasets across teams without copying anything. I’ve worked with other data platforms before and I still remeber how much time we used to lose to ETL jobs and infrastructure management. Role Based Access Contril (RBAC) is solid as well, especially once its configured correctly. I also appreciate Time Travel, because it makes it simple to jump back and check historical data fastest whenever I need to. **What do you dislike about Snowflake?** RBAC is powerful, but it isn’t very straightforward at first. I had to spend some time testing and adjusting different roles to make sure I wasn’t over permissioning anything. Credit usage is another area you really need to keep an eye on as you go, since its easy to lose track if you’re not paying attention. **What problems is Snowflake solving and how is that benefiting you?** It gives me a single snowflake dashboard where I can track and audit data access, instead of having to jump between multiple systems. It also pulls AI chatbots, machine learning and other tools into one place, which makes it easier for our team to manage data related work within the same portal. This has been particularly useful during internal audits and it also helps us move faster on investigations when something doesn’t look right. ### 22. Smooth, Scalable Data Platform with Flexible Compute/Storage Separation **Rating:** 4.5/5.0 stars **Reviewed by:** Tim R. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 01, 2026 **What do you like best about Snowflake?** Snowflake has been part of my daily workflow for quite some time and it scales smoothly without requiring any manual effort on my end. Its integrations with tools like Python, Tableau, APIs and cloud storage services have been reliable, stable and straightforward to maintain over time. I also appreciate the separation of compute and storage, which keeps the such as workload isolation, data sharing and suppot for external stages help me handle different use cases more cleanly and efficiently. **What do you dislike about Snowflake?** I haven’t run into any issues so far, everything is ok works as expected for regular use. New users provide $400 credits in the first months. **What problems is Snowflake solving and how is that benefiting you?** Snowflake takes a lot of the complexity out of infrastructure management and lets me stay focused on building data solutions. I can scale resources up or down whenever I need and I’m able to run multiple workloads in parallel without running into performance problems. From ingestion to transformation and reporting, everything lives in one place, which boosts productivity and keeps my workflows clean, organized and easy to manage. ### 23. Snowflake Makes Scaling and Fast Queries Effortless **Rating:** 5.0/5.0 stars **Reviewed by:** Rakshith B. | Associate Data Analyst Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** March 30, 2026 **What do you like best about Snowflake?** Snowflake’s standout feature is the way it separates storage from compute, which makes scaling both straightforward and efficient. Query performance stays fast even when working with large datasets, and the UI is clean, simple, and easy to navigate. It also integrates smoothly with other tools, which helps streamline data workflows and cuts down on the effort needed for infrastructure management. **What do you dislike about Snowflake?** One downside of Snowflake is that costs can rise quickly if usage isn’t monitored closely. The pricing model can also feel a bit complex to understand at first. In addition, there’s a learning curve for new users, especially when it comes to optimizing queries and managing warehouses efficiently. **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps us manage and analyze large volumes of data efficiently without having to worry about the underlying infrastructure. We can scale resources up or down on demand and run multiple workloads in parallel without running into performance issues. As a result, our data processing is faster, maintenance takes less effort, and we’re able to make quicker, data-driven decisions. ### 24. Snowflake Makes Slack Data Queries Fast and Scalable **Rating:** 4.5/5.0 stars **Reviewed by:** Ronnie L. | Slack Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 23, 2026 **What do you like best about Snowflake?** Snowfalke - I run queries on Slack app data and internal metric without any noticable delay. Scaling works well for us now, with no slowdown even when running heavy queries. The features I use most often are warehouse resizing, access roles and retenation. It also handles structured and unstructured adat together, which is a help. **What do you dislike about Snowflake?** It takes extra effort to understand excatly where credits are being spent and at times it feels a bit more on Snowfalke side than mine. Snowflake is great for managing Slack workflow data, and its been a solid fit for that use case. **What problems is Snowflake solving and how is that benefiting you?** With Snowflake, we used to track metrics across several different tools, but now everything is centralized in one place. Its much easier to monitor activity, trouble and debug issues more fastest and share reports with the team unnecessary delays. ### 25. Easy-to-Use Cloud Data Management for Integration, Governance, and Migration **Rating:** 5.0/5.0 stars **Reviewed by:** Sanyam S. | Senior Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 26, 2026 **What do you like best about Snowflake?** It is a cloud-based data management tool. It’s one of the best tools for data integration, governance, and migration, and it’s easy to use with a UI-friendly interface. Anyone can use it easily and they also provide customer support if need any help, they provide trainings also to the users and help them manage their data.. I also find it easy to use, thanks to a user-friendly interface and an overall UI that feels intuitive and straightforward. **What do you dislike about Snowflake?** As of now, the cost for some services is pretty high, but it does provide good-quality service overall, so I think it’s good. **What problems is Snowflake solving and how is that benefiting you?** It solves the problem of data management and data silos that often occur in large MNCs with huge amounts of data stored in their legacy systems across different applications and databases. It helps them bring everything together and create meaning from the data, so they can use that refined data to support the company’s growth. ### 26. Straightforward Governance, Secure Data Management, and Helpful Cortex AI **Rating:** 4.5/5.0 stars **Reviewed by:** Jennifer W. | Project Manger, Mid-Market (51-1000 emp.) **Reviewed Date:** May 13, 2026 **What do you like best about Snowflake?** Snowflake goverance & security features are straightforward and easy to use. Users roles are simple to manage, and the platform helps with cloud storage while keeping stored data maintained and organized. The SQL workflow, along with Git repository support, makes it easier to maintain and track tasks within the database. Cortex AI is also helpful for everyday tasks and for wide use across the workplace. Overall, Snowflake supports database cost management and integration needs **What do you dislike about Snowflake?** Snowflake ML tools are quite complex to use as a beginner but the function and features are quite good as compared to other ML tools like models and experiments **What problems is Snowflake solving and how is that benefiting you?** The transformation feature is very useful for everyday tasks. Making dbt projects and dynamic tables are very important features that assista our operations ### 27. Smooth Data Movement, Effortless Scaling, and Strong Secure Sharing **Rating:** 4.5/5.0 stars **Reviewed by:** Patrick R. | Embedded System Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2026 **What do you like best about Snowflake?** I use Snowflake alongside Spark and a few custom APIs Data moves smoothly between these systems. The compute scaling is partcularly useful when I’m running heavy queries and I rarely need to manually adjust resources much. Secure data sharing is another standout feature when collaborating with external teams and the governance is solid continues to keep pace as our data grows. **What do you dislike about Snowflake?** Handling a large number of small files can impact performance, so I sometimes have to preprocess the data before loading it. That adds an extra step to my workflow, but aside that I haven’t run into any major issues. Its almost good. **What problems is Snowflake solving and how is that benefiting you?** It centralizes data pipelines and helps cut down processing delays. I can run analyses more fastest without having to worry about backend limitations, even when we’re handling data masking and integration to support third party business needs. ### 28. Powerful, Fully Managed Data Warehousing and Analytics with Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** May 24, 2026 **What do you like best about Snowflake?** What I appreciate most about Snowflake is how it completely removes the operational overhead from data management. As a project manager, I don't want my team spending weeks configuring servers, managing storage sizes, or tweaking indexes. Snowflake just works out of the box. The split between storage and compute is a lifesaver. We can run heavy data pipelines and refresh client dashboards simultaneously without any slowdowns or resource conflicts. Features like automatic scaling, built-in query optimization, and the newer Snowflake Cortex AI tools mean we can deliver secure, high-performance analytics and smart features to our customers much faster. It lets us focus entirely on delivering business value rather than managing infrastructure. We implemented Snowflake as the central data backbone for a major e-commerce project. Our goal was to consolidate massive volumes of sales figures and customer behavior data into one secure location. Snowflake easily handled the automated storage and heavy data processing behind the scenes. This allowed us to build seamless tracking dashboards, generate accurate executive reports, and share live analytics data securely with stakeholders without any file-management headaches. Our data processing and client reporting no longer compete for power. Virtual Warehouses scale automatically to handle sudden spikes in traffic. Because Snowflake automatically handles security, encryption, and performance tuning, our development cycles dropped significantly. We can now securely share live analytics with external partners instantly, skipping the old, clunky process of exporting and emailing manual files. **What do you dislike about Snowflake?** Honestly, there isn't anything I hate about the tool itself. It does exactly what it promises. But from a management and budget perspective, there are a few things you need to watch out for: It’s overkill for small projects: Snowflake is built for massive enterprise data. If you are just running a small app with a tight budget, it might not be the most cost-effective choice. Costs can sneak up on you: Because it’s so easy to spin up powerful servers with one click, your bill can jump quickly if you aren't careful. You really have to stay on top of budget alerts and monitor your team's usage. You still need expert skills: Even though it runs automatically behind the scenes, you can't just hand it to beginners. To get the best performance and avoid wasting money, you still need an experienced architect who knows how to structure things the right way. **What problems is Snowflake solving and how is that benefiting you?** Before Snowflake, our data was scattered across different systems for website traffic, payments, and order tracking. It was a mess to manage manually. Snowflake solved this by bringing everything into one secure cloud platform. Here is how it makes my life easier as a project manager and benefits our business: Faster Decision-Making: We no longer waste time moving files around. My team was able to build real-time dashboards incredibly fast. Now, leadership can instantly see our top-selling products, regional customer hotspots, monthly growth, and buying trends. Smarter Marketing: Using the built-in Snowflake Cortex AI tools, we set up customer sentiment and behavior analysis. This gives our marketing team the exact data they need to forecast trends and plan future campaigns with confidence. A Complete All-in-One Solution: From an IT and management standpoint, it solves multiple headaches at once. It handles our storage, computing power, strict security roles, and disaster recovery in one place. It has completely removed the technical friction from our e-commerce operations. ### 29. Effortless Large-Scale Data Analytics with Flexible Compute and Storage **Rating:** 4.5/5.0 stars **Reviewed by:** mayuresh p. | Software Engineer - II, Mid-Market (51-1000 emp.) **Reviewed Date:** May 03, 2026 **What do you like best about Snowflake?** how easy it makes handling large-scale data without worrying too much about infrastructure. You don’t have to think about provisioning or tuning servers, you just focus on the data and queries. The separation of compute and storage is a big win **What do you dislike about Snowflake?** cost visibility and control. It’s very easy to spin up warehouses and run queries, but if you’re not careful, costs can grow quickly without it being obvious in real time.Also, for smaller or simpler use cases, it can feel like overkill. **What problems is Snowflake solving and how is that benefiting you?** managing and scaling data infrastructure without a lot of operational overhead. Before using it, handling large datasets, running analytics queries, and keeping pipelines stable required a lot more effort around provisioning, tuning, and maintenance.The biggest benefit is that it saves time and reduces complexity. ### 30. Centralized Data Management with Easy Usability **Rating:** 4.5/5.0 stars **Reviewed by:** Rosario T. | People Team Lead, Investment Banking, Mid-Market (51-1000 emp.) **Reviewed Date:** May 08, 2026 **What do you like best about Snowflake?** I find Snowflake pretty easy to use, which is a big plus for me. I also like that it has many different levels of permissions, which really helps to store data securely and ensure that only stakeholders can see it. I haven't encountered any issues with the data workload it can manage so far and the integrations with other systems like Airtable, Salesforce, Jotforms, etc work fine. **What do you dislike about Snowflake?** Sometimes it is a bit hard to understand the correlation or relationships between data inputs. I also believe that it's quite expensive **What problems is Snowflake solving and how is that benefiting you?** I use Snowflake to centralize our data, ensuring it's in one place and of high quality. It's easy to use and offers various permission levels, keeping data secure and accessible to stakeholders. ### 31. Consistent Snowflake Performance with Easy Setup and Seamless Team Collaboration **Rating:** 4.5/5.0 stars **Reviewed by:** Jill L. | Cybersecurity Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about Snowflake?** Snowflake pull data from APIs, cloud storage and security tools into snowflake and setup wasn’t complex. Querery performance has been consistent, even during peak hours. I also appreciate the more advanced features and the fact that multiple teams can work at the same time without running into conflicts. **What do you dislike about Snowflake?** No problem so far. It helps bring together app data with easy logs and alerts, which makes it easier to track behavior and fastest generate reports to snowflake, it has been a secure and realiable platform for us. **What problems is Snowflake solving and how is that benefiting you?** It gives me a single place to teview activity, logs and reports. It saves time cuts down on Snowflake work during incidents reviews and day to day monitoring and it also makes investigations easier because I don’t have to jump between different tools. ### 32. Effortless Scaling with Great Data Sharing but Watch Costs **Rating:** 4.0/5.0 stars **Reviewed by:** Philip F. | Mr, Construction, Mid-Market (51-1000 emp.) **Reviewed Date:** May 24, 2026 **What do you like best about Snowflake?** I really like Snowflake's elastic scaling; it's my favorite part. We can run huge queries without managing servers, and it pauses automatically, so we only pay for what we use. The data sharing feature also works great. Sharing live data securely with partners avoids copying and keeps everyone synced on one version of the truth. Snowflake integrates well with the common stack; we use dbt for transformations, Airflow for orchestration, Looker and Tableau for BI, and Python for data science work. We moved from Redshift to Snowflake, which made scaling easier and separated storage from compute, cutting a lot of the cluster management headaches we had before. The setup was quick for the basics, and we had a warehouse running and data loading in under an hour. **What do you dislike about Snowflake?** Cost can spike if queries aren't optimized, since you pay per compute second. The UI for permissions and roles is also clunky and takes time to get right. **What problems is Snowflake solving and how is that benefiting you?** Snowflake handles scaling data storage, accelerates analytics, unifies siloed data, and reduces infrastructure costs for growing data teams. ### 33. Easy to begin, Data at a glance **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** March 13, 2026 **What do you like best about Snowflake?** I started my journey with Snowflake as a Data Quality and Governance Engineer. What I appreciate most is the simplicity of the tool and I love how easy it is to access and immediately get started with my work. Lately, I've been using the Snowflake Intelligence for Reporting and it has improved a lot of the work we deliver. With the improved logs and features in Snowsight UI, I am able to pay more attention to the details and artifacts that Data Engineers need in their everyday work. Snowflake is the primary platform where our data is stored, processed and prepared for further business requirements. **What do you dislike about Snowflake?** Nothing specific to call out, but I’d really like to see more collaboration between Snowflake and GitHub. Version control with third-party libraries does work, but I’d still prefer a more direct collab and tighter integration. **What problems is Snowflake solving and how is that benefiting you?** I use Snowflake as a primary platform for the ELT pipeline, data quality and governance process. The ability to integrate with BI tools enables me to use my data quality reports and leverage them in visuals. One thing that I really like is that it has scaling to handle various data volumes efficiently, helping in faster processing. I like how every object can be managed by RBAC and defining access at different layers is never an issue.It's ability to integrate with third party tools is reallly helpful. ### 34. Scalable, Fast, and Secure Data Analytics Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Praveen K. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 23, 2026 **What do you like best about Snowflake?** I like Snowflake for its very fast query performance and good integration with ETL and BI tools. I also enjoy the secure data sharing capabilities across teams and projects. It supports semi-structured data like JSON, which makes data ingestion easier from APIs and applications. Auto-scaling is a big plus, saving time because we don't need to manually manage servers during high workloads. The ability to seamlessly scale up or down based on data load is crucial and Snowflake excels in this. It works well with major cloud platforms like AWS, Azure, and GCP. I appreciate its high performance for SQL queries and analytics, which helps business teams get reports quickly for decision-making. Its strong support for analytics and reporting workloads is impressive, and I find it a very good choice for large-scale data processing. **What do you dislike about Snowflake?** One challenge with Snowflake is cost management. Some areas that could be improved include better cost optimization and monitoring features and improved real-time streaming support for some use cases. There's also a high dependence on cloud connectivity. Specific difficulties in cost management include virtual warehouses that may keep running even when no queries are executing, difficulty in identifying which queries or users are causing high costs, and heavy queries consuming more compute credits. **What problems is Snowflake solving and how is that benefiting you?** Snowflake efficiently handles large data, improves query performance, and reduces infrastructure maintenance. It allows storing, processing, and sharing data securely, supports diverse data types, and enables separate workloads without interference, enhancing team collaboration. ### 35. Seamless Performance with Separate Compute & Storage and Zero-Copy Cloning **Rating:** 4.5/5.0 stars **Reviewed by:** Gautam P. | Researchers, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** May 22, 2026 **What do you like best about Snowflake?** When I was in my previous company I have been using this tool. The best part about Snowflake is that the storage and compute are completely separate. In my daily workflow, this means our data science team can run massive, heavy queries at the exact same time our business analysts are running their daily dashboards, and absolutely nothing slows down. I also love the Zero-Copy Cloning feature. It lets me create a replica of our production data for testing in just a few seconds without wasting time or storage costs. **What do you dislike about Snowflake?** While the auto-scaling is great, you have to be really careful with setting up warehouse timeouts. If an analyst accidentally leaves a massive virtual warehouse running or sets the auto-suspend time too high, it can rack up unexpected compute costs very quickly. It requires strict monitoring. **What problems is Snowflake solving and how is that benefiting you?** It solves our data concurrency and speed issues. Before Snowflake, our old database would choke when too many people logged in at 9 AM. Now, it automatically scales up to handle the morning rush and scales down when people go home. It saves our data engineering team hours every week because we don't have to manually manage database indexes or cluster partitions anymore. ### 36. Snowflake’s Workspaces & AI Cortex Code Supercharged Our SQL & Python Workflow for Data Products **Rating:** 5.0/5.0 stars **Reviewed by:** Rolando M. | Monitoring and Evaluation Specialist I, Mid-Market (51-1000 emp.) **Reviewed Date:** May 01, 2026 **What do you like best about Snowflake?** Snowflake is a really useful cloud data warehouse that has been improving over time. Recently, it improved its AI capabilities, which makes it much better to work with and, in my case, reduced query development time by about 10x. It has also helped with Python code development. I recently built a solid process to automate work using SQL and Python in a notebook, and it’s working great. **What do you dislike about Snowflake?** Snowflake’s integrations with other platforms have improved. In their most recent comments on X (Twitter) about two weeks ago, they mentioned an upcoming integration with Salesforce that would let you take actions directly from Snowflake. I’m looking forward to that, but as of now it still isn’t supported. **What problems is Snowflake solving and how is that benefiting you?** The Snowsight UI has been improving a lot. In the past, it felt similar to using a DB management tool like DBeaver, but with the recent updates—especially in Workspaces for better query development and data presentation—it has become much more useful. The addition of Cortex Code also helps with queries and coding, and more recently Snowflake has added capabilities from top AI LLMs like Claude, Open AI, LLama, and others. On performance and cost, Snowflake seems like a way to spend less and build a solid ROI case, mainly because it pushes you toward building data products. For example, Cortex Code suggests query optimizations and helps make those improvements real. And when it’s handling window function queries, it’s really fast compared to many engines. It also seems to have a caching effect: if you run the same query again, it comes back faster. Support has been great, especially around Cortex Code. The Snowflake team also sends emails inviting us to participate in surveys to improve the product, which gives the impression of a strong and engaged team. Another recent feature is the data catalogue. Even though we use another tool for this, it’s still great that Snowflake includes it built in. ### 37. Snowflake’s Multi-Cluster Warehouses Handled Our Flash Sale Spike Effortlessly **Rating:** 4.5/5.0 stars **Reviewed by:** Noah H. | Data Platform Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about Snowflake?** Last November we launched a Flash Sale promo and our transaction volume jumped 800 percent in two hours. Our old warehouse setup would have queued queries for minutes. But Snowflake's multi cluster warehouse feature is a lifesaver. We set max clusters to 5 on our Small warehouse and it automatically spin up extra clusters when the concurrency spiked.There was no failed queries and no throttling. The best part was that after the sale ended it scaled back down on its own. **What do you dislike about Snowflake?** Debugging nested JSON parsing errors is a nightmare when you are in hurry. Last month we ingested webhook events from Stripe and some records had missing fields that caused NULL explosions in our downstream models. I spent four hours tracing it to one malformed event out of two million. **What problems is Snowflake solving and how is that benefiting you?** We used to wast lot of time in capacity planning until we didn't have to do it anymore. Now with automatic scaling and separate compute for different workloads i just spin up dedicated warehouses for ETL dbt runs and Looker dashboards. 2 week brfore our fraud team needed to backtest a new model on 9 months of raw transaction logs. I threw them on a Large warehouse they finished in 11 minutes and nobody else even noticed which was big achievment for us. ### 38. Dynamic masking in Snowflake made role-based access fast and centralized **Rating:** 5.0/5.0 stars **Reviewed by:** Gino R. | Data governance Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about Snowflake?** We needed to restrict access based on project roles and fast. That's when i fell for dynamic masking. We applied masking policies directly on columns in Snowflake, no messing with ETL no separate staging tables. I literally wrote ALTER TABLE .... ADD MASKING POLICY and it just worked. Within two days auditors saw masked data while our BI team saw full values. The best part of it was It's all centralized in the account. **What do you dislike about Snowflake?** At the start we actually struggled with time travel billing. We enabled 90day retention just to be safe because our legal team wanted it. Then our monthly bill spiked. Turns out restoring a table from 70 days ago costs storage even if you never query it. Nobody explained that clearly during the training. **What problems is Snowflake solving and how is that benefiting you?** Last month our DPO asked for a data flow map to a new reinsurance partner. I joined tag references with query history and had an answer in 20 minutes. That used to take two days. Plus because Snowflake supports row level security natively we stopped building fragile views for every department. That never happened in our old stack. ### 39. Versatile Data Platform with Outstanding Time Travel, Needs Better Ingestion Tools **Rating:** 4.0/5.0 stars **Reviewed by:** Nikesh S. | Data Engineer III, Health, Wellness and Fitness, Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about Snowflake?** I feel the time travel feature in Snowflake is outstanding because it retains all the updates and deletions to the data for up to 90 days, allowing me to easily roll back to any previous version of the data. This feature is particularly helpful in rectifying any old data load or bad data load, especially when dealing with instances of stale data being loaded. Additionally, the Snowflake team has been really helpful during the initial onboarding and setup process, making sure everything went as smoothly as possible. **What do you dislike about Snowflake?** I think Snowflake Openflow is a pretty new tool for data ingestion launched mid or late last year and it does not provide a very user friendly experience for creating dataflows. It has different processors and processor groups that help us achieve the necessary data transformations and loading however their configuration is still quite complicated. Another place where it lags is there is not inbuilt alerting for pipeline/dataflow failures and one has to create a work around for a simple alert. Overall, the pipeline building experience is not at all user friendly and requires a lot of effort in the process. **What problems is Snowflake solving and how is that benefiting you?** I use Snowflake to consolidate scattered data from AWS and Azure, helping us clean, transform, and load data efficiently. The time travel feature allows us to fix data loading issues by rolling back tables to previous states, ensuring data integrity. ### 40. Snowflake Makes Heavy Queries and Zero-Copy Cloning Effortless **Rating:** 4.5/5.0 stars **Reviewed by:** Sheri H. | Senior Marketing Analytics Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about Snowflake?** Our marketing data was split across Salesforce, Google Ads and a legacy Postgres db. I remember spending two whole days just trying to join three tables. Then we moved to Snowflake and surprisingly the separation of storage and compute clicked for me. I can run a heavy query on five years of clickstream data without worry about some dashboard slowing down. I really like Zero copy cloning. No kidding i cloned a 2TB production table in seconds just to test a new attribution model. **What do you dislike about Snowflake?** Web UI feels sluggish. I know everyone uses VS Code or SnowSQL but sometimes i just want to peek at a table quickly. That interface hangs more than i'd like. Its annoying sometime when you are in a flow state and the browser tab decides to take a coffee break. **What problems is Snowflake solving and how is that benefiting you?** One big shift i noticed after a few months is that we stopped arguing about whose query was blocking whom. Before Snowflake we had this clumsy ETL that ran at midnight and failed maybe twice a week. Now because compute scales independently our daily transformation runs in 12 minutes instead of 90. That means i actually have time to iterate. The other benefit is we cut our data warehouse bill by about 30 percent just by auto suspending warehouses. ### 41. Snowflake Scales Effortlessly for High-Volume Logistics Analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Gary M. | Business systems analyst, Logistics and Supply Chain, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Snowflake?** In my capacity as a Business Analyst within the transport sector, I utilize Snowflake extensively to oversee logistics and fleet movement data. The platform's most commendable attribute is its capacity to handle substantial workloads with minimal administrative configuration. It effortlessly supports diverse data formats, including structured records and semi-structured data like JSON from our tracking systems. We typically stage our files in AWS S3, process everything within Snowflake, and subsequently export the insights to dashboards in Power BI. Furthermore, features such as automated scaling and workload isolation ensure that concurrent queries from multiple departments do not compromise system performance. The elimination of manual server management is an additional, significant advantage that streamlines our daily operations. **What do you dislike about Snowflake?** The main challenge with Snowflake is cost management, which requires strict operational discipline. Poorly written or inefficient queries can noticeably slow processing and drive up expenses. There is also a moderate learning curve when you start working with more advanced features, such as data clustering. To help address these points, it’s important to set up multiple user roles and assign clearly defined privileges so the analytics workflow stays secure and cost-effective. That said, it’s a major advantage that manual index tuning is no longer necessary, which is a meaningful improvement compared with older, more traditional systems. **What problems is Snowflake solving and how is that benefiting you?** Snowflake effectively addresses the complexities of managing massive transportation and inventory datasets, especially during peak operational periods. By bringing data engineering and analytics together in a single environment, it reduces architectural complexity and saves considerable time. As a result, reconciling fleet metrics and tracking cargo movements can be done with greater speed and precision, which in turn supports compliance audits and strategic planning cycles. Just as importantly, workload isolation allows reporting to run independently, ensuring business stakeholders receive insights promptly without impeding or slowing day-to-day transport transactions. ### 42. Cost-Effective, Easy-to-Use Snowflake with Great Performance and Support **Rating:** 5.0/5.0 stars **Reviewed by:** Prashanth Sai A. | Data engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 27, 2026 **What do you like best about Snowflake?** the cost is less compared to other Datawarehouse's, The UI is so neat and easy to understand,the user experiance is also good, we can integrate snowflake with dbt and other tools, the query performance is also good, And the support team is always reachable, It has new ai features like cortex code , its a game changer **What do you dislike about Snowflake?** I used snowflake polaris iceberg catalog , It can be improved **What problems is Snowflake solving and how is that benefiting you?** It solves the Data warehousing and Data migration , Data Ingestion, Transformation, It solves all the ETL problems and it is very useful if you are building streamlit apps and it has a marketplace were you can download or publish the content. The new AI Cortex Code Is the game changer , It reduces the time for Data Engineers ### 43. Excellent for Analytics: Transparent Costs, Easy UI, and Straightforward Integrations **Rating:** 4.5/5.0 stars **Reviewed by:** Chaim and Liora S. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 10, 2026 **What do you like best about Snowflake?** Snowflake is excellent for analytical workloads. The cost is relatively transparent, and there are plenty of tools available to help optimize both cost and performance. The UI is easy to use, and integration with 3rd-party vendors is straightforward. You can also easily access data that is external to Snowflake, which helps reduce vendor lock-in risk. **What do you dislike about Snowflake?** By the nature of being a cloud vendor, the UI has limitations in that it is browser based. This is the same story though for all cloud based data processing platforms. **What problems is Snowflake solving and how is that benefiting you?** It provides a cost effective solution to big data problems, with ability to scale seamlessly both vertically and horizontally. Since our data is in AWS in Iceberg format, we don't even need to load the data into Snowflake but can access it with Snowflake integrations and achieve excellent latencies. ### 44. Fast Data Processing with Innovative Features **Rating:** 4.5/5.0 stars **Reviewed by:** Meghana M. | Software Engineer 1, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** May 23, 2026 **What do you like best about Snowflake?** I find Snowflake extremely useful as a data warehousing tool because it's really fast and offers a lot of tools for processing massive data. I'm really interested in its latest feature, Cortex AI, which I believe can solve many issues my developers face. Cortex AI enables me and my team to integrate data sources and create dashboards in just minutes. It's really helpful for my team in connection with my AWS tools. Also, the initial setup of Snowflake was relatively easy, and I haven't faced any issues while working outside of my firm's compliance constraints. **What do you dislike about Snowflake?** Nothing, love the product and have never had issues with it **What problems is Snowflake solving and how is that benefiting you?** Snowflake is really fast and offers several tools for processing massive data. Cortex AI helps integrate data sources and create dashboards quickly, which is very helpful for my team. ### 45. All-In-One Data Solution with High Costs **Rating:** 4.0/5.0 stars **Reviewed by:** Abhishek S. | Senior Product Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** May 16, 2026 **What do you like best about Snowflake?** I really like how Snowflake is a very easy-to-use data warehouse where we can store all our data and then write queries in the notebook and do visualization right there. It's the all-in-one feature of Snowflake that stands out, combining the query notebook and visualization all in one place. It's super easy to get someone up and running with Snowflake, as opposed to having to connect a creator to the data warehouse and connecting a BI tool to it. This ease of use, just getting the team ready and working within minutes, makes Snowflake valuable. **What do you dislike about Snowflake?** I think primarily the cost factor, it's way too expensive. **What problems is Snowflake solving and how is that benefiting you?** I use Snowflake as an easy-to-use data warehouse for storing data, writing queries, and doing visualizations all in one place. It streamlines getting the team set up quickly without needing multiple tools. ### 46. Snowflake Keeps Getting Better: A Much-Improved UI Over the Years **Rating:** 5.0/5.0 stars **Reviewed by:** Jorge A. | Business Intelligence and Planning Manager, Enterprise (> 1000 emp.) **Reviewed Date:** May 19, 2026 **What do you like best about Snowflake?** Snowflake is always improving, and you really have to keep up with all the new features they keep releasing. I’ve been using it for years, and the UI has improved tremendously over that time. **What do you dislike about Snowflake?** Pricing can feel confusing at times. I had to read the fine print carefully to fully understand all the details and conditions behind the pricing. **What problems is Snowflake solving and how is that benefiting you?** It’s enabling us to maintain a single data lake and a single source of truth. Now, with their AI offerings, we can bring more business users onto the platform so they can work with the data more easily. ### 47. Maximum Performance with Minimum Maintenance **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** April 04, 2026 **What do you like best about Snowflake?** The biggest value Snowflake provides is how it removes the 'heavy lifting' of data management. The UI (Snowsight) is incredibly intuitive features like the Performance Explorer and built-in Worksheets mean I rarely have to leave the browser to get meaningful work done. From a Performance standpoint, the separation of compute and storage is a game-changer; I can run heavy ELT processes without ever lagging our BI dashboards. We’ve also seen a massive boost in AI/Intelligence workflows thanks to Cortex AI and Snowpark, which allow us to run LLM functions and Python logic directly on our data without the security risk of moving it to external servers. The Integrations are seamless, particularly the Data Marketplace, which has saved us weeks of engineering time by allowing us to 'mount' third-party data instead of building custom APIs. While the Pricing model requires some oversight, the ROI is clear: we’ve replaced three legacy tools with one platform, and the Auto-budgeting features keep costs predictable. Finally, the Onboarding experience was surprisingly smooth; the documentation is so thorough that we rarely need to contact Support, but when we do, they are fast and technically sharp **What do you dislike about Snowflake?** The main challenge I would say is the consumption-based pricing model, which can lead to unpredictable costs if you aren’t extremely diligent with resource monitors and auto-suspend settings. It's very easy for a developer to accidentally leave a large warehouse running or write an unoptimized query that eats up credits faster than expected. Nothing else comes to the mind for now. **What problems is Snowflake solving and how is that benefiting you?** The biggest problem Snowflake solves for me is infrastructure friction. I used to spend way too much time worrying about whether a large query would crash a dashboard or if I had enough 'room' to run a heavy data load. Snowflake handles all that scaling in the background, which lets me move straight to the actual analysis. It’s also solved the headache of data movement. Between the Marketplace and simple data sharing, I’m no longer building and fixing broken pipelines just to get external data into my environment. For me, the benefit is simple: speed. I can go from a raw dataset to a clean, usable model in a fraction of the time it used to take, simply because the platform stays out of my way and lets me work in whatever language like SQL or Python makes the most sense for the task at hand. ### 48. SQL-Agnostic, Easy to Adopt, and Packed with Capabilities **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** March 29, 2026 **What do you like best about Snowflake?** Snowflake is SQL-agnostic, so you don’t need to learn other programming languages to get started. It’s an easy ecosystem to enter and stay in. A lot of open-source tools natively support Snowflake, like dbt, Dagster, and Fivetran. Snowflake also has built-in AI features like Cortex code, which is very good to use. On top of that, there’s a wide variety of capabilities—such as API integrations, external stages, different user profiles, and security policies—and all of these can be implemented using just SQL. the user experience has been good with the introduction of workspaces , i am loving this new workspaces layout where i can structure and store my files in an organized way **What do you dislike about Snowflake?** I really liked snowflake as a data warehouse but there are too many features are open source tools all bundled inside snowflake , and snowflake has introduced a lot of AI features like cortex analyst which are good for UI friendly POC's but I prefer code-agnostic tools **What problems is Snowflake solving and how is that benefiting you?** I really love snowflakes data warehousing capabilities like time travel, all data in one place , every user can have his own permissions , access controls, It make data storage and governance so much easier while also supporting notebooks , worksheets which can cater to different kinds of people in the enviornment which they are comfortable in like a data scientist can protoype and deploy models using both SQL and python which is great ### 49. Scalable, Seamless, and Cost-Effective Data Warehousing **Rating:** 4.5/5.0 stars **Reviewed by:** Sachin K. | Software engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 09, 2026 **What do you like best about Snowflake?** I really enjoy Snowflake's scalability and performance, which have streamlined our data analytics process. The way it handles large volumes of data without compromising speed is impressive. I appreciate the seamless integration with our existing tools, making life so much easier. I also really enjoy Snowflake's automatic scaling, like having a super smart assistant that adjusts resources based on demand. The data sharing feature is a game-changer for collaboration with partners and internal teams; it works seamlessly. Snowflake's solid integrations with tools like Tableau and Power BI make visualization and gaining insights a breeze. The initial setup was pretty straightforward thanks to their solid documentation and helpful team, allowing us to start loading and querying data within a day. **What do you dislike about Snowflake?** Honestly, one thing that can be a bit of a pain is Snowflake's cost management - it can get tricky to optimize costs, especially with complex queries or large data volumes. And sometimes, the learning curve for advanced features can be a bit steep, especially for new users. **What problems is Snowflake solving and how is that benefiting you?** Snowflake streamlines our data analytics with its scalability and performance. It handles large data volumes, integrates seamlessly with tools like Tableau and Power BI, and features like automatic scaling and data sharing enhance collaboration. However, cost management can be tricky, and there's a learning curve for advanced features. ### 50. Incredibly Flexible Data Engineering Platform for Operational and Analytical Workloads **Rating:** 5.0/5.0 stars **Reviewed by:** Satya Prateek B. | Director of Data Science, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Snowflake?** The most flexible data engineering platform. It takes a while to setup but once you have it running the ability for it to work as both an operational db and an analytical db is incredible **What do you dislike about Snowflake?** It's got a lot of features and you really need to understand intricacies when setting it up. Can thus be challenging for small teams that lack a dedicated snowflake admin **What problems is Snowflake solving and how is that benefiting you?** We have a ELT type hybrid data architecuture need and we also need to ingest transformed insights back into our product. Snowflake helps up achieve this with minimal latency ## Snowflake Discussions - [What's the best way to manage change data capture in Snowflake?](https://www.g2.com/discussions/what-s-the-best-way-to-manage-change-data-capture-in-snowflake) - 4 comments, 2 upvotes - [What is Snowflake used for?](https://www.g2.com/discussions/what-is-snowflake-used-for) - 2 comments, 1 upvote - [Why Python is best for career?](https://www.g2.com/discussions/why-python-is-best-for-career) - 1 comment, 1 upvote - [How do you optimize query performance in snowflake while analysing?](https://www.g2.com/discussions/how-do-you-optimize-query-performance-in-snowflake-while-analysing) - 1 comment, 1 upvote - [Snowflake - how to connect to Snowflake using NodeJS](https://www.g2.com/discussions/snowflake-how-to-connect-to-snowflake-using-nodejs) - 2 comments, 1 upvote - [View Snowflake pricing details and edition comparison](https://www.g2.com/products/snowflake/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-03+13%3A32%3A13+-0500&secure%5Bsession_id%5D=3c031dd5-5d2c-42f8-995b-d3f9c501c32f&secure%5Btoken%5D=5573dc0d9798e5244a176cf77872de2fe21f2742c2c77b358be2ae06a538e3fe&format=llm_user) ## Snowflake Integrations - 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Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Storage** - Data Model - Data Types **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Centralized computation** - Centralized Computation **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Availability** - Auto Sharding - Auto Recovery - Data Replication **Security** - Access Control - Roles Management - Compliance Management **Operations** - Metrics - Infrastructure management - Collaboration **Localized computation** - Localized computation **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - On-Premise - Cloud **Security** - Data Encryption - User Access Control **Performance** - Integrated Cache **Maintainence** - Data Quality Management - Policy Management **Management** - Cataloging - Monitoring - Governing **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Support** - Multi-Model - Operating Systems **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Snowflake Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (772 reviews) - [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) - 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